Running title: Reducing Network Latency for Web Applications in a Datacenter
Abstract:
With the rapid development of web applications in datacenters, network latency becomes more important to user experience. The network latency will be greatly increased by incast congestion, in which a huge number of requests arrive at the front- end server simultaneously. Previous incast problem solutions usually handle the data transmission between the data servers and the front-end server directly, and they are not sufficiently effective in proactively avoiding incast congestion. In this research, we introduce a Swarm-based Incast Congestion Control (SICC) system and a Proactive Incast Congestion Control system (PICC) and a Neighbor-aware Congestion Control algorithm based on Reinforcement Learning (NCC). We conclude that these congestion control systems in a datacenter will help reduce network latency, avoid congestion and improve the quality of service of clients. This proposal provides an overview of the scope of congestion control and network optimization within a datacenter, some of the key challenges in building congestion control systems, hypothesized contributions, potential solutions, an evaluation plan, and preliminary results.
Committee:
- Yangfeng Ji, Chair (CS)
- Haiying Shen, Advisor (CS)
- Lu Feng (CS)
- Charles Reiss (CS)
- Cong Shen (ECE)